Random Variables and Probability Problems

For each problem, make up an original example of a random variable having the stated distribution, and the solve the problem. Each random variable should involve something real or fictional on the UE campus.
Be sure to start each response with a clear identification of your random variable. Be sure it is numerical, not something like "Let X = students". Instead, a typical problem should be something like this: "Let X = number of students per hour who enter Koch Center on Wednesday between 10 AM and noon. Assume X has Poisson distribution with mean 160. Figure out the probability that more than 180 will enter Koch Center next Wednesday between 10 and 10:30 AM."

1. Discrete Uniform
2. Bernoulli
3. Binomial (with n = 10 and ϴ = 0.6)
4. Geometric
5. Negative Binomial (with k = 5)
6. Hypergeometric
7. Poisson
8. Multinomial (with n = 3)
9. Multivariate Hypergeometric

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